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102
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PR
2008
113views more  PR 2008»
15 years 2 months ago
Do unbalanced data have a negative effect on LDA?
For two-class discrimination, Ref. [1] claimed that, when covariance matrices of the two classes were unequal, a (class) unbalanced dataset had a negative effect on the performanc...
Jing-Hao Xue, D. Mike Titterington
PR
2006
164views more  PR 2006»
15 years 2 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
121
Voted
PR
2006
87views more  PR 2006»
15 years 2 months ago
Prototype reduction schemes applicable for non-stationary data sets
All of the prototype reduction schemes (PRS) which have been reported in the literature, process time-invariant data to yield a subset of prototypes that are useful in nearest-nei...
Sang-Woon Kim, B. John Oommen
96
Voted
PR
2006
101views more  PR 2006»
15 years 2 months ago
Efficient Legendre moment computation for grey level images
9 Legendre orthogonal moments have been widely used in the field of image analysis. Because their computation by a direct method is very time expensive, recent efforts have been d...
G. Y. Yang, Huazhong Shu, Christine Toumoulin, Guo...
128
Voted
PR
2006
127views more  PR 2006»
15 years 2 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu